{"id":"W2169755126","doi":"10.1002/nav.20156","title":"On‐line parameter estimation for a partially observable system subject to random failure","year":2006,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"U.S. Navy","keywords":"Observable; Constraint (computer-aided design); State (computer science); Computer science; Domain (mathematical analysis); Projection (relational algebra); State space; Algorithm; Mathematical optimization; Line (geometry); Process (computing); Estimation; Estimation theory; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001776934,0.000844945,0.00139537,0.0005814875,0.0003268783,0.0009895792,0.0008229708,0.001345231,0.001119816],"category_scores_gemma":[0.008838361,0.0006725835,0.0005393763,0.0003854708,0.001262429,0.001312851,0.001008552,0.0009461697,0.0001764296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007593239,"about_ca_system_score_gemma":0.000690275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008957261,"about_ca_topic_score_gemma":0.003948007,"domain_scores_codex":[0.9990897,0.0004300329,0.00003114239,0.0001879911,0.00017921,0.00008189947],"domain_scores_gemma":[0.9946001,0.004148934,0.0006822629,0.00022221,0.0002729382,0.00007362268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004704369,0.00001770086,0.0008043504,0.00002678876,0.00001982281,0.00007625385,0.00004875548,0.9874385,0.001166972,0.001257887,0.0000923301,0.009003608],"study_design_scores_gemma":[0.000002815522,0.000009612812,0.0001654865,0.00000141759,0.000001579494,0.000006841716,0.000004325328,0.9990395,0.0001843964,0.0005576954,0.00002341339,0.000002812688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1048121,0.00008090118,0.8940542,0.000182411,0.000006577429,0.00003111668,0.0000436878,0.0002601842,0.0005288334],"genre_scores_gemma":[0.9677485,0.00006391571,0.03117973,0.00003203742,0.0000139806,0.00004914301,0.00008801706,0.00004323241,0.0007815621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008957261,"threshold_uncertainty_score":0.01781029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1270848643312376,"score_gpt":0.4047882520786528,"score_spread":0.2777033877474152,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}